Aishwarya Donekal

Led a cross functional agile team in the end-to-end delivery of a HealthTech application, used to run the business process using Camunda and DMN(BPMN tools) • Integrated various sub processes and APIs to optimize the throughput by 40%. • Used tools like Kafka and AWS to improve resilience by automatically handling transient failures, such as timeouts, network glitches or service overloads. • Managed CI/CD using GitHub Actions and Docker, which reduced the effort in release cycles. • Owned the technical direction while making key decisions on coding standards, system archietecture and translating business requirements into technical specifications. • Used GraphQL calls and Hasura database for real time data synchronization.

• Developed forward leaning WebApp on React-Redux Framework, Node.Js with Material UI components to optimize performance by 55%.It is a Healthcare billing application. • Validated the performance for Grids, Tables, Trees and Custom Componenets using Jest. • Used Apigee to authenticate and exchange data from MySql, PostgreSql databases. • Configured Springboot Plugins along with JPA, IOC, AOP, Triggers, Pojo’s for Quick setup and smooth start of the project. • Injected Querys, Indexs, Joins, Transactions and Locks to keep the data consistent and coherant. • Mentored Jr.Developers on understanding tools like Swagger, TokenBearer, Oauth and KafkaClasses for a smooth business flow. • Written a complex Multilevel Table-grid structure to bring Business logic into action in a more efficient manner, using Custom-Componenets. Mid. Software Developer July 2019 – August 2021

Angular-Jasmine was the core to develop the web application for the company. • Pipes, Filters, Lambda were used to Exchange data on the UI. • Implemented Java-Expressjs, MongoDB as Backend to implement CRUD operations for the user records. • Maven was used to build the application. • Implemented Microservices to develop multi instances for load distribution to build services for a distribution channel application. • Hands-on with AWS EC2, S3, Cloudwatch and SQS services to implement Programatic Handling and Dynamic Scaling. • My contribution towards work was to improve the services performance by 15% by implementing Shorter Routing and Batch API’s.

• Implemented Microservices to develop multi instances for load distribution to build services for a distribution channel application. • DJango was used to implement API Authentication, Kubernetes to run containerization, Kibana, Graphana, Splunk for Data Visualization, Jenkins for analysis. • Hands-on with AWS EC2, S3, Cloudwatch and SQS services to implement Programatic Handling and Dynamic Scaling. • Used Pytest to implement TTD. • Introduced MVC Architecture, Troubleshooted, and Fixed Bugs and issues in the Backend to ensure smooth operation of the applications